Bilde av Jenssen, Robert
Bilde av Jenssen, Robert
Department of Physics and Technology robert.jenssen@uit.no +4777646493 41699612 Tromsø FPARK B 271

Robert Jenssen


Professor / Machine Learning / Centre Leader Visual Intelligence

Job description

Director, SFI Visual Intelligence. Visual Intelligence is a Centre for Research-based Innovation funded by the Research Council of Norway and a consortium of private and public partners. We are at the international forefront in deep learning research for complex image analysis. Please see

SFI Visual Intelligence

Twitter: @SFI_VI

Professor and Head of the UiT Machine Learning Group. Please see

UiT Machine Learning Group

Google Scholar Profile


  • Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen :
    Mixing up contrastive learning: Self-supervised representation learning for time series
    Pattern Recognition Letters 2022 ARKIV / DOI
  • Luigi Tommaso Luppino, Mads Adrian Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen et al.:
    Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images
    IEEE Transactions on Neural Networks and Learning Systems 2022 DOI
  • Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen :
    Generating customer's credit behavior with deep generative models
    Knowledge-Based Systems 2022 ARKIV / DOI
  • Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer :
    Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels
    Medical Image Analysis 2022 ARKIV / DOI
  • Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt Børre Salberg :
    Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks
    International Journal of Remote Sensing 2022 DOI
  • Srishti Gautam, Marina Marie-Claire Hohne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer :
    Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation
    IEEE International Symposium on Biomedical Imaging 2022 DOI
  • Srishti Gautam, Marina Marie-Claire Hohne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer :
    This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation
    Pattern Recognition 2022 ARKIV / DOI
  • Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina Marie-Claire Hohne et al.:
    ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model
    Advances in Neural Information Processing Systems 2022
  • Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, Jose C. Principe :
    Principle of Relevant Information for Graph Sparsification
    Proceedings of Machine Learning Research (PMLR) 2022
  • Stine Hansen, Srishti Gautam, Michael Kampffmeyer, Robert Jenssen :
    A self-guided anomaly detection-inspired few-shot segmentation network
    CEUR Workshop Proceedings 2022
  • Suaiba Amina Salahuddin, Stine Hansen, Srishti Gautam, Michael Kampffmeyer, Robert Jenssen :
    A self-guided anomaly detection-inspired few-shot segmentation network
    CEUR Workshop Proceedings 2022
  • Stine Hansen, Srishti Gautam, Michael Kampffmeyer, Robert Jenssen :
    A self-guided anomaly detection-inspired few-shot segmentation network
    CEUR Workshop Proceedings 2022
  • Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Eivindson Løkse, Gusatu Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer et al.:
    The Kernelized Taylor Diagram
    Communications in Computer and Information Science 2022
  • Huamin Ren, Filippo Maria Bianchi, Jingyue Li, Rasmus L. Olsen, Robert Jenssen, Stian Normann Anfinsen :
    Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms
    IEEE conference proceedings 2021 DOI
  • Robert Jenssen :
    Innovasjon i Visual Intelligence
    2022
  • Robert Jenssen :
    Presentation of SFI Visual Intelligence
    2022
  • Robert Jenssen :
    Centre for Research-based Innovation Visual Intelligence and the General Electric Vingmed Ultrasound Collaboration
    2022
  • Robert Jenssen :
    Visual Intelligence and environmental monitoring
    2022
  • Robert Jenssen :
    Towards XAI and Visual Intelligence for health
    2022
  • Robert Jenssen :
    An introduction to self-supervised learning with examples of use cases in few-shot learning and medical image analysis
    2022
  • Robert Jenssen :
    Visual Intelligence for medical image analysis
    2022
  • Robert Jenssen :
    Learning from limited data
    2022
  • Robert Jenssen :
    Towards XAI and Visual Intelligence for health
    2022
  • Robert Jenssen :
    Women in AI panel debate
    2022
  • Robert Jenssen :
    Visual Intelligence advances deep learning research towards innovations
    2022
  • Robert Jenssen :
    Visual Intelligence and graph neural networks
    2022
  • Robert Jenssen :
    Kunstig intelligens-utdanninger for helse ved UiT
    2022
  • Robert Jenssen :
    Computer vision for power line monitoring
    2022
  • Kristoffer Wickstrøm, Eirik Agnalt Østmo, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen :
    Explaining representations for medical image retrieval
    2022
  • Robert Jenssen :
    Mot framtidas helsevesen med kunstig intelligens
    2022
  • Robert Jenssen :
    Etikk og AI
    2022
  • Robert Jenssen :
    Pasientnær kunstig intelligens
    2022
  • Robert Jenssen :
    Machine Learning Research, AI Technology and Ethical Considerations
    2022
  • Robert Jenssen :
    Paneldebatt framtidas helsevesen med AI
    2022
  • Kristoffer Knutsen Wickstrøm, Daniel Johansen Trosten, Sigurd Eivindson Løkse, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen :
    RELAX: Representation Learning Explainability
    2022
  • Daniel Johansen Trosten, Sigurd Eivindson Løkse, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen :
    RELAX: Representation Learning Explainability
    2022
  • Daniel Johansen Trosten, Kristoffer Wickstrøm, Shujian Yu, Sigurd Eivindson Løkse, Robert Jenssen, Michael Kampffmeyer :
    Deep Clustering with the Cauchy-Schwarz Divergence
    2022
  • Samuel Kuttner, Luigi Tommaso Luppino, Kristoffer Wickstrøm, Nils Thomas Doherty Midtbø, Seyed Esmaeil Dorraji, Ana Oteiza et al.:
    Deep learning derived input function in dynamic 18F-FDG PET imaging of mice
    2022
  • Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Eivindson Løkse, Gusatu Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer et al.:
    The Kernelized Taylor Diagram
    2022
  • Srishti Gautam, Marina Marie-Claire Hohne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer :
    Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation
    2022
  • Srishti Gautam, Marina Marie-Claire Hohne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer :
    Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation
    2022
  • Srishti Gautam, Marina Marie-Claire Hohne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer :
    Artifact Detection with Prototypical Relevance Propagation
    2022
  • Robert Jenssen :
    Industrial and basic deep learning research for computer vision with limited labels
    2021
  • Robert Jenssen :
    Kunstig intelligens - Forstå verden. Forvreng verden?
    2021
  • Robert Jenssen :
    Machine Learning and Visual Intelligence for decision support in healthcare and medical image analysis
    2021
  • Robert Jenssen :
    Machine learning for risk analysis and personalized medicine using data from electronic health records and PET imaging
    2021
  • Robert Jenssen :
    Machine Learning and Visual Intelligence for decision support in healthcare and medical image analysis
    2021
  • Robert Jenssen :
    Hvordan skal Norge og Nord-Norge ta føringen innen kunstig intelligens?
    2021
  • Robert Jenssen :
    Kunstig intelligens og maskinlæring - på full fart inn i helsevesenet
    2021
  • Robert Jenssen :
    UiT skal samarbeide med verdensledende institutt på forskning innen kunstig intelligens
    07. July 2021

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